My Profile

Presentation

Today, I design software solutions, automation tools and applied AI prototypes for companies – especially accounting firms and SMEs. My goal is straightforward: turn real-world constraints into concrete tools that save time, reduce mental load, and fit naturally into existing workflows.

I enjoy working close to the field: talking with the people who actually use the tools, understanding their habits, pain points, and time pressure. This proximity shapes my technical choices and my way of building software: clear, robust, and genuinely helpful from day one.

Background

My first contact with programming was in middle school with Scratch (My profile), where I discovered the basics of coding and wrote my first algorithms. Later on, I continued exploring programming with my first scripts in Python.

In high school, I really got into development, first on my own and then through the Computer Science and Digital Technologies (CSDT) specialization, where I completed my first concrete projects.

After graduating from high school with the CSDT specialization, I joined the integrated preparatory program Prep'ISIMA and then the engineering school ISIMA, from which I graduated. This curriculum gave me a solid foundation in software engineering, industrial computing, and AI.

Technical Skills

My main programming languages are C/C++ and Python, which I use for systems development, automation tools, and AI-related projects. I'm also comfortable building applications with C#, Rust, Java, GDScript, and other technologies depending on the project's needs.

Beyond languages, I have a strong interest in observability, software quality, and bringing reliable tools into production: instrumentation, dashboards, monitoring, testing, documentation, and user feedback loops.

Professional Experience

  • Michelin (MessMass squad)
    Designed and implemented a Grafana status page to monitor critical middleware. The project leveraged Grafana, Prometheus and OpenTelemetry to provide a clear, real-time view of service health and to support operations teams in their daily work.
  • Arctic University of Norway (UiT)
    Developed a chatbot for the Industrial Engineering master's program, aimed at helping students quickly find relevant information through a contextual search engine and a conversational interface.